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In &lt;i&gt;International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation&lt;\/i&gt;. Springer, 228&ndash;232."},{"key":"e_1_3_2_1_20_1","volume-title":"Jorge David Fern&aacute;ndez G&oacute;mez, and Antonio Pineda","author":"Ramos-Serrano Marina","year":"2018","unstructured":"Marina Ramos-Serrano , Jorge David Fern&aacute;ndez G&oacute;mez, and Antonio Pineda . 2018 . Follow the closing of the campaign on streaming: The use of Twitter by Spanish political parties during the 2014 European elections. &lt;i&gt;new media & society&lt;\/i&gt; 20, 1 (2018), 122&ndash;140. Marina Ramos-Serrano, Jorge David Fern&aacute;ndez G&oacute;mez, and Antonio Pineda. 2018. 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Characterizing the Twitter network of prominent politicians and SPLC-defined hate groups in the 2016 US presidential election. &lt;i&gt;Social Network Analysis and Mining&lt;\/i&gt; 9, 1 (2019), 34."},{"key":"e_1_3_2_1_23_1","volume-title":"Schiff Statement on Release of Twitter Ads, Accounts and Data. https:\/\/intelligence","author":"Schiff Adam","year":"2019","unstructured":"Adam Schiff . 2018. Schiff Statement on Release of Twitter Ads, Accounts and Data. https:\/\/intelligence .house.gov\/news\/documentsingle.aspx? DocumentID =396. visited September , 2019 . Adam Schiff. 2018. Schiff Statement on Release of Twitter Ads, Accounts and Data. https:\/\/intelligence.house.gov\/news\/documentsingle.aspx?DocumentID=396. visited September, 2019."},{"key":"e_1_3_2_1_24_1","volume-title":"Political rumoring on Twitter during the 2012 US presidential election: Rumor diffusion and correction. &lt;i&gt;new media & society&lt;\/i&gt","author":"Shin Jieun","year":"2017","unstructured":"Jieun Shin , Lian Jian , Kevin Driscoll , and Fran&ccedil;ois Bar. 2017. Political rumoring on Twitter during the 2012 US presidential election: Rumor diffusion and correction. &lt;i&gt;new media & society&lt;\/i&gt ; 19, 8 ( 2017 ), 1214&ndash;1235. Jieun Shin, Lian Jian, Kevin Driscoll, and Fran&ccedil;ois Bar. 2017. 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Election campaigning on social media: Politicians, audiences, and the mediation of political communication on Facebook and Twitter. &lt;i&gt;Political Communication&lt;\/i&gt; 35, 1 (2018), 50&ndash;74."},{"key":"e_1_3_2_1_26_1","unstructured":"Twitter Inc. 2017. List of IRA Accounts as passed to the US Congress. https:\/\/democrats-intelligence.house.gov\/uploadedfiles\/exhibit_b.pdf. visited September 2019.  Twitter Inc. 2017. List of IRA Accounts as passed to the US Congress. https:\/\/democrats-intelligence.house.gov\/uploadedfiles\/exhibit_b.pdf. visited September 2019."},{"key":"e_1_3_2_1_27_1","unstructured":"Twitter Inc. 2018. Extended list of IRA Accounts as passed to the US Congress. https:\/\/democrats-intelligence.house.gov\/uploadedfiles\/ira_handles_june_2018.pdf. visited September 2019.  Twitter Inc. 2018. 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Automation , algorithms, and politics| political communication, computational propaganda, and autonomous agents&mdash;Introduction. &lt;i&gt;International Journal of Communication&lt;\/i&gt ; 10 ( 2016 ), 9. Samuel C Woolley and Philip N Howard. 2016. Automation, algorithms, and politics| political communication, computational propaganda, and autonomous agents&mdash;Introduction. &lt;i&gt;International Journal of Communication&lt;\/i&gt; 10 (2016), 9."},{"volume-title":"Measuring message propagation and social influence on Twitter.com. In &lt;i&gt;Proc. of the international conference on social informatics&lt;\/i&gt;","author":"Ye Shaozhi","key":"e_1_3_2_1_31_1","unstructured":"Shaozhi Ye and S Felix Wu. 2010. Measuring message propagation and social influence on Twitter.com. In &lt;i&gt;Proc. of the international conference on social informatics&lt;\/i&gt; . Springer , 216&ndash;231. Shaozhi Ye and S Felix Wu. 2010. Measuring message propagation and social influence on Twitter.com. 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